End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1248
-- Accuracy: 0.6072
+- Loss: 1.0101
+- Accuracy: 0.6102
 
 ## Model description
 
@@ -44,16 +44,15 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 94   | 0.9586          | 0.5826   |
-| No log        | 2.0   | 188  | 0.9446          | 0.6193   |
-| No log        | 3.0   | 282  | 1.0621          | 0.6138   |
-| No log        | 4.0   | 376  | 1.1248          | 0.6072   |
+| No log        | 1.0   | 94   | 0.9398          | 0.6007   |
+| No log        | 2.0   | 188  | 0.9191          | 0.6183   |
+| No log        | 3.0   | 282  | 1.0101          | 0.6102   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75d897453309912b8363b8acbaec6104d065354eb5acc3848ef137c3a2ac57a5
+oid sha256:3da1acb9496761a3d5c2a230a81abe6a933fd491ed81df92c0d566a2851ed707
 size 409097164